A first look at COVID-19 information and misinformation sharing on Twitter
By L. Singh, Shweta Bansal, Leticia Bode, Ceren Budak, G. Chi, Kornraphop Kawintiranon, Colton Padden, R. Vanarsdall, Emily K. Vraga, Yanchen Wang. arXiv.org, 2020
317 citations recorded by the source corpus.
Since December 2019, COVID-19 has been spreading rapidly across the world. Not surprisingly, conversation about COVID-19 is also increasing. This article is a first look at the amount of conversation taking place on social media, specifically Twitter, with respect to COVID-19, the themes of discussion, where the discussion is emerging from, myths shared about the virus, and how much of it is connected to other high and low quality information on the Internet through shared URL links. Our preliminary findings suggest that a meaningful spatio-temporal relationship exists between information flow and new cases of COVID-19, and while discussions about myths and links to poor quality information exist, their presence is less dominant than other crisis specific themes. This research is a first step toward understanding social media conversation about COVID-19.
Subfields: Communication, Sociology and Political Science
View Paper: https://www.semanticscholar.org/paper/c853c874fd2d9e083ed2e0de1ada857683805ce3
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Citations in the corpus
- Leveraging Data Science to Combat COVID-19: A Comprehensive Review (2020, methodology): “These reports are compiled using Google Maps and describe how busy places such as grocery stores, transit stations, and workplaces are.”
- Mapping the Landscape of Artificial Intelligence Applications against COVID-19 (2020, background): “[122] † looks at global trends on Twitter by country.”